Triple
T18902728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empire of Ivory |
E462374
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Lung Tien Temeraire |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lung Tien Temeraire | Statement: [Empire of Ivory, hasCharacter, Lung Tien Temeraire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lung Tien Temeraire Context triple: [Empire of Ivory, hasCharacter, Lung Tien Temeraire]
-
A.
Richelieu Wing
The Richelieu Wing is a major section of the Louvre Museum that houses collections such as French sculpture, decorative arts, and Near Eastern antiquities in a historic palace setting.
-
B.
Falconet
Falconet is a French surname most notably associated with Étienne-Maurice Falconet, an 18th-century sculptor renowned for works such as the Bronze Horseman statue of Peter the Great in Saint Petersburg.
-
C.
Marui
Marui is a Japanese department store and retail company known for its fashion-focused shopping complexes branded with the "OIOI" logo.
-
D.
Suzaku
Suzaku was a Japanese X-ray astronomy satellite, developed in collaboration with NASA, that studied high-energy phenomena such as black holes, supernova remnants, and galaxy clusters.
-
E.
Green Dragon
Green Dragon is a film for which Canadian composer Jeff Danna created the musical score.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lung Tien Temeraire Target entity description: Lung Tien Temeraire is an intelligent Chinese Celestial dragon and central protagonist in Naomi Novik’s Temeraire fantasy series, known for his strong sense of justice and partnership with Captain William Laurence.
-
A.
Richelieu Wing
The Richelieu Wing is a major section of the Louvre Museum that houses collections such as French sculpture, decorative arts, and Near Eastern antiquities in a historic palace setting.
-
B.
Falconet
Falconet is a French surname most notably associated with Étienne-Maurice Falconet, an 18th-century sculptor renowned for works such as the Bronze Horseman statue of Peter the Great in Saint Petersburg.
-
C.
Marui
Marui is a Japanese department store and retail company known for its fashion-focused shopping complexes branded with the "OIOI" logo.
-
D.
Suzaku
Suzaku was a Japanese X-ray astronomy satellite, developed in collaboration with NASA, that studied high-energy phenomena such as black holes, supernova remnants, and galaxy clusters.
-
E.
Green Dragon
Green Dragon is a film for which Canadian composer Jeff Danna created the musical score.
- F. None of above. chosen
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52a4b4c8190b5821996e3c1741d |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.